Abstract
BACKGROUND AND OBJECTIVE: According to the Global Burden of Diseases, Injuries, and Risk Factors, lower respiratory infections cause more than 2.3 million deaths globally, with a majority occurring in sub-Saharan Africa, including Ethiopia.Community-acquired pneumonia (CAP) is a major contributor to global mortality and morbidity. Understanding the prevalence and common bacterial causes of CAP is crucial for clinicians to accurately diagnose and improve patient satisfaction. The purpose of this systematic review was to report the pooled prevalence and common bacterial etiologies of CAP among adult patients in Ethiopia. METHODS: This review was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. A comprehensive search of the published articles between January 2000 and October 2022 was performed using open access electronic databases such as PUBMED, Science Direct, CINAHL, HINARI, Google Scholar, and local university repositories. Cochrane Q and I(2) values were used to assess heterogeneity among the studies. Publication bias was assessed using funnel plots and Egger's test. The random-effects model was used to estimate the pooled prevalence. RESULTS AND CONCLUSIONS: Of all the publications that were thoroughly searched, 9 studies with 2496 participants met the criteria for analysis. All of the studies were cross-sectionally designed and most of the studies used convenient sampling techniques. The included studies consisted of two conducted among adult patients diagnosed with CAP and living with HIV/AIDS, while the remaining seven studies were conducted among adult patients diagnosed with CAP without HIV/AIDS. The combined prevalence of bacterial causes of community-acquired pneumonia (CAP) among adult patients was found to be 39.18% (CI 36.34-42.02), with an I(2) of 52.6 and a P value of 0.032. The primary bacterial cause was Klebsiella pneumoniae (9.1%), followed by Streptococcus pneumoniae (8.11%), and Staphylococcus aureus (6.8%). Therefore, it is advisable to introduce a diagnostic tool for identifying specific causative agents and drug resistance, which could lead to improved treatment and better patient outcomes by reducing the need for empirical treatments.